Journal ArticleDOI
Crop growth modelling and crop yield forecasting using satellite-derived meteorological inputs
A.J.W. de Wit,C.A. van Diepen +1 more
TLDR
The results indicate that a recalibration of the model parameters is necessary before the MeteoSatderived meteorological variables can be used operationally in the system.About:
This article is published in International Journal of Applied Earth Observation and Geoinformation.The article was published on 2008-12-01. It has received 78 citations till now. The article focuses on the topics: Crop simulation model & Regression analysis.read more
Citations
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Journal ArticleDOI
Evaluation of MODIS land surface temperature data to estimate air temperature in different ecosystems over Africa
TL;DR: In this paper, the authors explore the possibility of retrieving high-resolution near surface air temperature (Ta) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) Ts products over different ecosystems in Africa.
Journal ArticleDOI
Crop yield sensitivity of global major agricultural countries to droughts and the projected changes in the future.
Guoyong Leng,Jim W. Hall +1 more
TL;DR: This study investigates the likelihood of yield loss of wheat, maize, rice and soybeans in response to droughts of various intensities in the 10 largest producing countries and highlights the non-linear response ofield loss risk to the increase in drought severity.
Journal ArticleDOI
Global Gridded Crop Model evaluation: benchmarking, skills, deficiencies and implications
Christoph Müller,Joshua Elliott,Joshua Elliott,James P. Chryssanthacopoulos,James P. Chryssanthacopoulos,Almut Arneth,Juraj Balkovic,Juraj Balkovic,Philippe Ciais,Delphine Deryng,Delphine Deryng,Christian Folberth,Christian Folberth,Michael Glotter,Steven Hoek,Toshichika Iizumi,Roberto C. Izaurralde,Roberto C. Izaurralde,Curtis D. Jones,Nikolay Khabarov,Peter Lawrence,Wenfeng Liu,Stefan Olin,Thomas A. M. Pugh,Thomas A. M. Pugh,Deepak K. Ray,Ashwan Reddy,Cynthia Rosenzweig,Cynthia Rosenzweig,Alex C. Ruane,Alex C. Ruane,Gen Sakurai,Erwin Schmid,Rastislav Skalsky,Carol Song,Xuhui Wang,Xuhui Wang,Allard de Wit,Hong Yang,Hong Yang +39 more
TL;DR: In this paper, the authors evaluate the simulation results of 14 global gridded crop modeling groups that have contributed historic crop yield simulations for maize, wheat, rice and soybean to the Global Gridded Crop Model Intercomparison (GGCMI) of the AgMIP.
Journal ArticleDOI
Winter wheat yield forecasting in Ukraine based on Earth observation, meteorological data and biophysical models
Felix Kogan,Nataliia Kussul,Tatiana Adamenko,Sergii Skakun,Oleksii Kravchenko,Oleksii Kryvobok,Andrii Shelestov,Andrii Shelestov,Andrii Kolotii,Olga Kussul,Alla N. Lavrenyuk +10 more
TL;DR: It is concluded that performance of empirical NDVI-based regression model was similar to meteorological and CGMS models when producing winter wheat yield forecasts at oblast level in Ukraine 2–3 months prior to harvest, while providing minimum requirements to input datasets.
Journal ArticleDOI
Potential performances of remotely sensed LAI assimilation in WOFOST model based on an OSS experiment
TL;DR: In this article, an Observing System Simulation Experiment (OSSE) has been defined to assess the potentialities of assimilating winter wheat leaf area index (LAI) estimations derived from remote sensing into the crop growth model WOFOST.
References
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Journal ArticleDOI
WOFOST: a simulation model of crop production.
TL;DR: The WOFOST simulation model as mentioned in this paper is a tool for analysing the growth and production of field crops under a wide range of weather and soil conditions, such an analysis is important first to assess to what extent crop production is limited by the factors of light, moisture and macro-nutrients, and second to estimate what improvements are possible.
Journal ArticleDOI
Scaling-up crop models for climate variability applications.
James Hansen,James W. Jones +1 more
TL;DR: In this paper, a case study of soybean in the state of Georgia in the USA illustrates several crop model scaling approaches, including sampling input variability in geographic or probability space, and calibration of model inputs or outputs.
Journal ArticleDOI
Design and optimisation of a large-area process-based model for annual crops
TL;DR: In this article, a new process-based crop model, the general large area model (GLAM) for annual crops, is presented, which is designed to operate on spatial scales commensurate with those of global and regional climate models.
Journal ArticleDOI
A Simple Method to Estimate Global Radiation.
Iwan Supit,R.R. van Kappel +1 more
TL;DR: In this article, a simple method to estimate global radiation from mean daytime cloud cover and maximum and minimum temperature has been tested for various locations in Europe, ranging from Finland to Italy.
Journal ArticleDOI
Comparison of Agricultural Impacts of Climate Change Calculated from High and Low Resolution Climate Change Scenarios: Part I. The Uncertainty Due to Spatial Scale
TL;DR: This article investigated the effect of two different spatial scales of climate change scenarios on crop yields simulated by the EPIC crop model for corn, soybean, and wheat, in the central Great Plains of the United States.
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